Identify if cable is usb micro using AI

Below is a free classifier to identify if cable is usb micro. Just upload your image, and our AI will predict if the cable is a USB Micro - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-cable-is-usb-micro", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-cable-is-usb-micro/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_image_url"}
    )
})
.then(response => response.json())
.then(data => console.log(data));


curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_image_url"}' \
    https://www.nyckel.com/v1/functions/if-cable-is-usb-micro/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if the cable is a USB Micro.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Not Usb Micro Cable and Usb Micro Cable.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the cable is a USB Micro).

Whether you're just curious or building if cable is usb micro detection into your application, we hope our classifier proves helpful.

Need to identify if cable is usb micro at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Quality Control in Manufacturing: This function can be integrated into production lines to automatically identify and segregate USB micro cables from other cable types, ensuring that only the correct products pass through quality control checks. This reduces the risk of mix-ups and enhances overall product reliability.

Inventory Management: Retailers can utilize this classification function to streamline their inventory management processes by automatically cataloging and organizing products based on cable type. This automation can improve stock accuracy and reduce manual labor costs associated with inventory tracking.

Automated Sorting in Warehouses: Logistic centers can deploy this function to automate the sorting of cables as they are received or shipped. By identifying USB micro cables immediately, the system can optimize storage and fulfillment operations, increasing efficiency and reducing errors.

E-commerce Product Listing: Online retailers can use this classification to automatically tag and categorize product images, which speeds up the listing process for USB micro cables. This ensures that customers can easily find the correct products, enhancing user experience and potentially increasing sales.

Customer Support Enhancement: Support teams in electronics companies can employ this image classification function to quickly identify and classify customer returns or inquiries related to USB micro cables. This can speed up the resolution process and improve customer satisfaction.

Market Analysis for Product Development: Companies can analyze the prevalence of USB micro cables in the marketplace by using this function to categorize images in product databases. Insights gained from such analysis can inform product development and marketing strategies.

Training for Technical Staff: Educational institutions or training organizations can utilize this classification function to assist in hands-on training for technical staff in recognizing different cable types. This practical application aids in building skills necessary for careers in electronics and IT support.